You will get Custom Machine Learning Model for Classification, Regression and Deployment
Project details
Transform your data into actionable insights with a custom Machine Learning solution built in Python. I specialize in Deep Learning, Regression, Classification, Predictive Modeling, and Data Science projects, delivering end-to-end solutions for business, healthcare, finance, e-commerce, and tech applications. Using top frameworks like TensorFlow, PyTorch, Scikit-learn, and XGBoost, I handle the complete workflow: data cleaning, feature engineering, model selection, hyperparameter tuning, evaluation, and deployment. Every solution is production-ready, with clean Python code, thorough documentation, visualized performance metrics, and optional API deployment via FastAPI or Flask. My goal is to help you make AI-powered decisions, improve forecasting accuracy, and gain actionable insights from your data efficiently and reliably. Let’s build your next Machine Learning project together with a focus on accuracy, scalability, and ROI.
Machine Learning Tools
fastText, Google Sheets, Keras, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SQL, TensorFlow, Tesseract OCR, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 10 days |
Number of Revisions | 3 | 5 | Unlimited |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 2 | 4 |
Number of Graphs/Charts | 2 | 5 | 10 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
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Mustafa A.
May 8, 2026
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Arham did a very good job. Highly recommended.
About Arham
AI Engineer | Machine Learning | Computer Vision | AI Chatbots & Agent
Hyderabad, Pakistan - 9:21 am local time
✅ 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐈 𝐎𝐟𝐟𝐞𝐫
🧠 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬
🟢 Classification, regression, recommendation, and predictive analytics
🟢 Supervised & unsupervised learning, anomaly detection, and time-series forecasting
🟢 Deployment-ready ML pipelines using Scikit-learn, TensorFlow, PyTorch
💬 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 (𝐍𝐋𝐏) & 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬
🟢 Text classification, sentiment analysis, question answering, and entity extraction
🟢 Conversational AI & LLM-powered chatbots for customer support, document Q&A, and workflow automation
🟢 Models using LSTM, GRU, BERT, Transformers, GPT, Gemini, LLaMA
🤖 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 & 𝐋𝐋𝐌 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧
🟢 Implementation of RAG pipelines and document summarization systems
🟢 Intelligent assistants and content generation applications
🟢 Hugging Face Transformers & API-based deployment
🖼 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 & 𝐈𝐦𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠
🟢 Real-time image classification, object detection (YOLOv8, RCNN), segmentation
🟢 Applications in healthcare, agriculture, security, and industrial automation
🟢 Advanced vision pipelines with OpenCV, PyTorch, TensorFlow
🌐 𝐀𝐏𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭
🟢 Fast and secure API development using Flask & FastAPI
🟢 Cloud deployment on AWS (EC2, Lambda, S3), Azure, and Docker containerization
🟢 CI/CD setup for production-ready applications
📊 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 & 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧
🟢 Advanced exploratory data analysis using Pandas, NumPy, Matplotlib, Seaborn
🟢 Dashboard creation and data-driven insights for better decision-making
📂 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝
🟢 AI-Based Lungs Diagnoser Agent – Complete doctor platform for lungs diagnosis
🟢 AI Technical Interviewer – Technical interviewer agent using LLM
🟢 AI-Based Assignment Maker – AI agent that writes professional assignments
🟢 Segmented Classification of Brain Tumor – CNN + UNET hybrid architecture
🟢 AI-Powered Web Scrapper Agent – Real-time web scraping automation
🟢 Real-Time Car Detection – YOLO-based car detection system
🟢 Lung X-Ray Segmentation – U-NET based lungs X-ray segmentation
🟢 AI-Powered Chatbot – RAG-based chatbot using Gemini
🟢 Diabetes Mellitus II Chatbot – AI assistant for diabetes guidance
🟢 Hierarchical Classification of Lung Diseases – CNN-based classification
🟢 Website Integrated Chatbot Using DialogFlow – Rule-based conversational agent
🟢 Jarvis – Voice assistant application
🟢 Mental Health Detection – Transformer-based detection system
🟢 Paraphrase Generator – Transformer-based paraphrasing model
🟢 Complete Transformer Pipeline – Multi-task transformer architecture
🟢 Plants Classification – CNN-based plant recognition system
🟢 Pneumonia Detection – CNN architecture for pneumonia classification
🟢 DocumentMindAI – RAG-based document Q&A application
🟢 Skin Cancer Classification – CNN-based cancer detection system
🟢 Language Translator – Transformer-based English-Urdu translation
🟢 AI-Based Tumor Detection System – YOLO-based tumor detection
🟢 Plagiarism Detector – Transformer-based plagiarism detection
🟢 QR Code Detector – OpenCV-based QR code detection
🟢 Breast Cancer Classification – CNN-
🛠 𝐓𝐨𝐨𝐥𝐬 & 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬
💻 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐉𝐚𝐯𝐚, 𝐂++, 𝐑, 𝐂#, .𝐍𝐄𝐓
🖥 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 & 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬: 𝐓𝐞𝐧𝐬𝐨𝐫𝐅𝐥𝐨𝐰, 𝐏𝐲𝐓𝐨𝐫𝐜𝐡, 𝐎𝐩𝐞𝐧𝐂𝐕, 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐞𝐫𝐬, 𝐇𝐮𝐠𝐠𝐢𝐧𝐠 𝐅𝐚𝐜𝐞
📈 𝐃𝐚𝐭𝐚 𝐓𝐨𝐨𝐥𝐬: 𝐏𝐚𝐧𝐝𝐚𝐬, 𝐍𝐮𝐦𝐏𝐲, 𝐒𝐜𝐢𝐤𝐢𝐭-𝐥𝐞𝐚𝐫𝐧, 𝐌𝐚𝐭𝐩𝐥𝐨𝐭𝐥𝐢𝐛, 𝐒𝐞𝐚𝐛𝐨𝐫𝐧
💾 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: 𝐌𝐨𝐧𝐠𝐨𝐃𝐁, 𝐌𝐲𝐒𝐐𝐋, 𝐎𝐫𝐚𝐜𝐥𝐞, 𝐃𝐲𝐧𝐚𝐦𝐨𝐃𝐁
☁️ 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: 𝐀𝐖𝐒 (𝐄𝐂2, 𝐋𝐚𝐦𝐛𝐝𝐚, 𝐒3), 𝐀𝐳𝐮𝐫𝐞, 𝐃𝐨𝐜𝐤𝐞𝐫, 𝐅𝐚𝐬𝐭𝐀𝐏𝐈, 𝐅𝐥𝐚𝐬𝐤
🔧 𝐕𝐞𝐫𝐬𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 & 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: 𝐆𝐢𝐭, 𝐉𝐮𝐩𝐲𝐭𝐞𝐫, 𝐕𝐒 𝐂𝐨𝐝𝐞, 𝐂𝐈/𝐂𝐃
🤝 Why Work With Me
🟢 100% clean delivery record with global clients
🟢 Deep expertise in Machine Learning, Deep Learning, NLP, LLM, Generative AI, and Computer Vision
🟢 Flexible, transparent, and deadline-driven collaboration
🟢 Strong communication and reporting throughout your project lifecycle
🟢 Focused on building AI solutions that deliver measurable business impact
📩 Message me today to discuss your AI project and see how I can deliver a scalable, production-ready solution tailored to your needs
Steps for completing your project
After purchasing the project, send requirements so Arham can start the project.
Delivery time starts when Arham receives requirements from you.
Arham works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement and Analysis
I will start by analyzing your requirements, project goals and final deliverables. This step will make sure of the correct workflow of project. A proper Research and Design enables the reliable project delivery.
Exploratory Data Analysis
In this step I will start exploring your data. This step will cover following key areas, 1. Data Exploration 2. Descriptive and Statistical Analysis 3. Visualizations/Graphs 4. Data Cleaning and Preprocessing